Top KDnuggets tweets, Sep 10-12: Best interview questions for ML/data mining; An algorithm finds suspect social-network links

1. Peter Skomoroch of LinkedIn and others share their best interview questions for machine learning/data mining positions b.qr.ae/Pbfs6u
2. Math vs Fraud: a Steiner tree algorithm finds social-network connections more likely to be used for fraud. bit.ly/QbyZWg
3. New Book: Data Mining for the Masses bit.ly/RyxJyg
4. Webinar (Sep 27): CCR - a new method for analyzing Big Data or small data with many correlated predictors bit.ly/P9tk12
5. Stanford 16 online courses for fall include Machine Learning (A. Ng), and Probabilistic Graphical Models (D. Koller) bit.ly/QFA5LU
6. #BigData and Analytics in a Customer-Focused Enterprise: Inside Scoop with Karl Rexer bit.ly/QEAGb7
7. TU Darmstadt: PhD position in ML/Data Mining, focus on unsupervised info extraction and aggregation bit.ly/RvBHHK
8. Extracting Business Value from Text Analytics - How-to-guide bit.ly/RLagEi
9. Predilytics, a Boston startup, is melding machine learning and health care data; gets $6M VC investment bit.ly/Pg4BGA
10. How Gallo winery is using analytics. 5 core wine clusters help improve marketing - Cheers ! bit.ly/PrE0tQ

Popular RT
Dean Abbott @deanabb, "Journeys to Data Mining: Experiences from 15 Renowned Researchers", Incl @deanabb @johnelder4 @kdnuggets David Hand www.amazon.com/Journeys-Data-Mining-Experiences-Researchers/dp/3642280463/ref=sr_1_1?s=books&ie=UTF8&qid=1347240589&sr=1-1&keywords=journeys+to+data+mining+in+books

Stephen Wolfram, @stephen_wolfram, Wolfram|Alpha Personal Analytics for Facebook is now live: learn the unexpected about yourself & your friends wolfr.am/UersX3